"Databases or database systems written in Python, like Postgres" matching MCP servers:

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

Enables Claude to write in your personal style by learning from your local documents. It provides statistical style context for natural language rewriting, all without any data leaving your machine.

Enables SQL queries, schema exploration, and Oracle sequence management across multiple databases including Oracle, OceanBase, and DolphinDB. Supports multiple environments with secure password handling.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

Enables AI assistants to run SQL queries against PostgreSQL databases through the psql CLI, with support for multiple configured databases and enforced read-only guarantees.

MCP server providing automated code linting, rule explanations, and configuration templates for wemake-python-styleguide, with structured violation reports and offline rule database.

Enables local coding agents to safely inspect and query PostgreSQL databases — listing schemas, tables, and columns and running capped SELECT statements across multiple configured environments — while the server itself holds the database credential so the LLM never sees it.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

Enables read-only PostgreSQL interaction with enforced SQL security policies, including query validation, row limits, and timeouts.

Enables Claude to interact with a local PostgreSQL database through SQL queries, schema inspection, and CRUD operations.

Governed PostgreSQL DBA operations — slow-query, bloat, and blocking-lock RCA, index management, vacuum/analyze, and replication lag, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

Provides SQLite database analytics operations through MCP, enabling AI assistants to connect, query, explore schema, and export data from SQLite databases.

A database MCP server providing 33 tools across PostgreSQL, MySQL, and SQLite, with connection groups, rollback, dump/restore, and schema auto-discovery via natural language.

Enables querying and interacting with PostgreSQL databases using natural language through MCP. Supports configuration via environment variables and Cursor IDE integration.

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.